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Mixture model
Results: 969

#	Item
111	Bayesian integrative clustering for genomics datasets Evelina Gabasova Lorenz Wernisch, John Reid MRC Biostatistics Unit University of Cambridge Add to Reading List Source URL: s3-eu-west-1.amazonaws.com Language: English - Date: 2015-03-30 15:54:24 Cluster analysis Statistics Consensus clustering Learning Artificial intelligence Ridge Mixture model
112	Radiation transport, ﬂuid dynamic and collisional-radiative model of radiative shock waves in H2/He mixture for aerospace and astrophysical plasmas G. D’Ammando†,‡ G. Colonna† F. Esposito† L. D. Pietanza† a Add to Reading List Source URL: www-amdis.iaea.org Language: English - Date: 2015-03-29 09:40:21
113	情報処理学会第 73 回全国大会 5R-9 Audio-visual musical instrument recognition Angelica Lim† Keisuke Nakamura‡ Kazuhiro Nakadai‡ Tetsuya Ogata† Hiroshi G. Okuno† Add to Reading List Source URL: winnie.kuis.kyoto-u.ac.jp Language: English - Date: 2011-02-02 07:54:57 Machine learning String instrument Mixture model Musical instrument Humanoid robot Histogram of oriented gradients
114	Bayesian integrative clustering for genomics datasets Evelina Gabasova (), Lorenz Wernisch, John Reid Mixture model for multiple contexts Add to Reading List Source URL: s3-eu-west-1.amazonaws.com Language: English - Date: 2015-03-30 16:02:14 Gene expression Cluster analysis Data mining Geostatistics MicroRNA DNA methylation
115	sm_reg_surface_noisy_60_b.eps Add to Reading List Source URL: dpkingma.com Language: English - Date: 2013-03-07 08:16:36 Statistics Machine learning Nonparametric statistics Estimation theory Computational statistics Kernel density estimation Pattern recognition Artificial neural network Mixture model Density estimation Inverse problem Maximum a posteriori estimation
116	Coresets for Nonparametric Estimation — the Case of DP-Means Olivier Bachem Mario Lucic Andreas Krause ETH Zurich, Switzerland Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:43 Statistics Computational statistics Cluster analysis Machine learning Monte Carlo methods K-means clustering K-means++ Dirichlet process Mixture model Median Importance sampling Determining the number of clusters in a data set
117	Dirichlet labeling and hierarchical processes for clustering functional data XuanLong Nguyen Department of Statistics University of Michigan Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-03-19 18:20:32 Cluster analysis Geostatistics Stochastic processes Data mining Image segmentation Dirichlet process Mixture model Correlation clustering
118	Hierarchical Dirichlet Scaling Process Dongwoo Kim KAIST, Daejeon, Korea DW. KIM @ KAIST. AC . KR Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:27 Statistics Probability Statistical theory Statistical natural language processing Probability distributions Stochastic processes Latent Dirichlet allocation Hierarchical Dirichlet process Topic model Dirichlet process Dirichlet distribution Mixture model
119	Inference of functional clustering patterns from non-functional data Long Nguyen Department of Statistics University of Michigan Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-03-19 18:14:23 Statistics Statistical theory Probability Probability distributions Stochastic processes Dirichlet process Bayesian statistics Markov chain Monte Carlo Mixture distribution Statistical inference Concentration parameter Mixture model
120	Convergence of latent mixing measures in finite and infinite mixture models Long Nguyen Department of Statistics University of Michigan Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-09-24 16:38:48 Statistics Probability Estimation theory Stochastic processes Statistical models Probability distributions Cluster analysis Mixture model Dirichlet process Mixture distribution Identifiability

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